Efficient Invocation of Transaction Sequences Triggered by Data Streams. - Masafumi Oyamada; Hideyuki Kawashima; Hiroyuki Kitagawa (3PGCIC, 2011)

Continuous query processing with concurrency control: reading updatable resources consistently. - Masafumi Oyamada; Hideyuki Kawashima; Hiroyuki Kitagawa (SAC, 2013)

MOARLE: Matrix Operation Accelerator Based on Run-Length Encoding. - Masafumi Oyamada; Jianquan Liu; Kazuyo Narita; Takuya Araki (APWeb, 2014)

Relational Mixture of Experts: Explainable Demographics Prediction with Behavioral Data. - Masafumi Oyamada; Shinji Nakadai (ICDM, 2017)

Link Prediction for Isolated Nodes in Heterogeneous Network by Topic-Based Co-clustering. - Katsufumi Tomobe; Masafumi Oyamada; Shinji Nakadai (PAKDD (1), 2017)

Accelerating Feature Engineering with Adaptive Partial Aggregation Tree. - Masafumi Oyamada (IEEE BigData, 2018)

Compressed Vector Set: A Fast and Space-Efficient Data Mining Framework. - Masafumi Oyamada; Jianquan Liu; Shinji Ito; Kazuyo Narita; Takuya Araki; Hiroyuki Kitagawa (J. Inf. Process., 2018)

Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables. - Kunihiro Takeoka; Masafumi Oyamada; Shinji Nakadai; Takeshi Okadome (AAAI, 2019)

Extracting Feature Engineering Knowledge from Data Science Notebooks. - Masafumi Oyamada (IEEE BigData, 2019)

Learning with Unsure Responses. - Kunihiro Takeoka; Yuyang Dong; Masafumi Oyamada (AAAI, 2020)

Low-resource Taxonomy Enrichment with Pretrained Language Models. - Kunihiro Takeoka; Kosuke Akimoto; Masafumi Oyamada (EMNLP (1), 2021)

Efficient Joinable Table Discovery in Data Lakes: A High-Dimensional Similarity-Based Approach. - Yuyang Dong; Kunihiro Takeoka; Chuan Xiao 001; Masafumi Oyamada (ICDE, 2021)

User Identity Linkage for Different Behavioral Patterns across Domains. - Genki Kusano; Masafumi Oyamada (ICWSM, 2021)

Quality Control for Hierarchical Classification with Incomplete Annotations. - Masafumi Enomoto; Kunihiro Takeoka; Yuyang Dong; Masafumi Oyamada; Takeshi Okadome (PAKDD (3), 2021)

Continuous top-k spatial-keyword search on dynamic objects. - Yuyang Dong; Chuan Xiao 001; Hanxiong Chen; Jeffrey Xu Yu; Kunihiro Takeoka; Masafumi Oyamada; Hiroyuki Kitagawa (VLDB J., 2021)

Table Enrichment System for Machine Learning. - Yuyang Dong; Masafumi Oyamada (SIGIR, 2022)

Towards Large Language Model Organization: A Case Study on Abstractive Summarization. - Krisztián Boros; Masafumi Oyamada (IEEE Big Data, 2023)

Cross-Domain User Similarity without Overlapping Attributes via Optimal Transport Theory. - Genki Kusano; Masafumi Oyamada (eCom@SIGIR, 2023)

Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering. - Kosuke Akimoto; Kunihiro Takeoka; Masafumi Oyamada (EMNLP (Findings), 2023)

QA-Matcher: Unsupervised Entity Matching Using a Question Answering Model. - Shogo Hayashi; Yuyang Dong; Masafumi Oyamada (PAKDD (4), 2023)

Jellyfish: A Large Language Model for Data Preprocessing. - Haochen Zhang; Yuyang Dong; Chuan Xiao 001; Masafumi Oyamada (CoRR, 2023)

DeepJoin: Joinable Table Discovery with Pre-trained Language Models. - Yuyang Dong; Chuan Xiao 001; Takuma Nozawa; Masafumi Enomoto; Masafumi Oyamada (Proc. VLDB Endow., 2023)

On the Use of Large Language Models for Table Tasks. - Yuyang Dong; Masafumi Oyamada; Chuan Xiao 001; Haochen Zhang (CIKM, 2024)

Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing. - Haochen Zhang; Yuyang Dong; Chuan Xiao 001; Masafumi Oyamada (EMNLP, 2024)

Relevance, Diversity, and Exclusivity: Designing Keyword-augmentation Strategy for Zero-shot Classifiers. - Taro Yano; Kunihiro Takeoka; Masafumi Oyamada (*SEM@NAACL, 2024)

Large Language Models as Data Preprocessors. - Haochen Zhang; Yuyang Dong; Chuan Xiao 001; Masafumi Oyamada (VLDB Workshops, 2024)

LightPAL: Lightweight Passage Retrieval for Open Domain Multi-Document Summarization. - Masafumi Enomoto; Kunihiro Takeoka; Kosuke Akimoto; Kiril Gashteovski; Masafumi Oyamada (CoRR, 2024)

Optimizing Low-Resource Language Model Training: Comprehensive Analysis of Multi-Epoch, Multi-Lingual, and Two-Stage Approaches. - Kosuke Akimoto; Masafumi Oyamada (CoRR, 2024)

Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain. - Shintaro Ozaki; Yuta Kato; Siyuan Feng; Masayo Tomita; Kazuki Hayashi; Ryoma Obara; Masafumi Oyamada; Katsuhiko Hayashi 001; Hidetaka Kamigaito; Taro Watanabe (CoRR, 2024)

On Synthesizing Data for Context Attribution in Question Answering. - Gorjan Radevski; Kiril Gashteovski; Shahbaz Syed; Christopher Malon; Sebastien Nicolas; Chia-Chien Hung; Timo Sztyler; Verena Heußer; Wiem Ben Rim; Masafumi Enomoto; Kunihiro Takeoka; Masafumi Oyamada; et al. (ACL (1), 2025)

Can Large Language Models Invent Algorithms to Improve Themselves? - Yoichi Ishibashi; Taro Yano; Masafumi Oyamada (NAACL (Long Papers), 2025)

LLM-based Query Expansion Fails for Unfamiliar and Ambiguous Queries. - Kenya Abe; Kunihiro Takeoka; Makoto P. Kato; Masafumi Oyamada (SIGIR, 2025)

DISC: Dynamic Decomposition Improves LLM Inference Scaling. - Jonathan Light; Wei Cheng 002; Yue Wu; Masafumi Oyamada; Mengdi Wang; Santiago Paternain; Haifeng Chen (CoRR, 2025)

Can a Crow Hatch a Falcon? Lineage Matters in Predicting Large Language Model Performance. - Takuya Tamura; Taro Yano; Masafumi Enomoto; Masafumi Oyamada (CoRR, 2025)

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning. - Yoichi Ishibashi; Taro Yano; Masafumi Oyamada (CoRR, 2025)

SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented Generation. - Yuyang Dong; Nobuhiro Ueda; Krisztián Boros; Daiki Ito; Takuya Sera; Masafumi Oyamada (CoRR, 2025)

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents. - Taro Yano; Yoichi Ishibashi; Masafumi Oyamada (CoRR, 2025)

An Empirical Study of LLM-as-a-Judge: How Design Choices Impact Evaluation Reliability. - Yusuke Yamauchi; Taro Yano; Masafumi Oyamada (CoRR, 2025)

Learning Deliberately, Acting Intuitively: Unlocking Test-Time Reasoning in Multimodal LLMs. - Yahan Yu; Yuyang Dong; Masafumi Oyamada (CoRR, 2025)